DeepSeek

DeepSeek VL2 Tiny

Multimodal
Zero-eval
#3MME

by DeepSeek

About

DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Timeline
AnnouncedDec 13, 2024
ReleasedDec 13, 2024
Specifications
Capabilities
Multimodal
License & Family
License
deepseek
Benchmark Performance Overview
Performance metrics and category breakdown

Overall Performance

14 benchmarks
Average Score
63.1%
Best Score
88.9%
High Performers (80%+)
4

Top Categories

vision
69.1%
general
62.5%
math
53.6%
roleplay
53.2%
Benchmark Performance
Top benchmark scores with normalized values (0-100%)
Ranking Across Benchmarks
Position relative to other models on each benchmark

DocVQA

Rank #20 of 26
#17Llama 3.2 90B Instruct
90.1%
#18Pixtral-12B
90.7%
#19DeepSeek VL2 Small
92.3%
#20DeepSeek VL2 Tiny
88.9%
#21Llama 3.2 11B Instruct
88.4%
#22Gemma 3 12B
87.1%
#23Gemma 3 27B
86.6%

ChartQA

Rank #20 of 24
#17Phi-4-multimodal-instruct
81.4%
#18Phi-3.5-vision-instruct
81.8%
#19Pixtral-12B
81.8%
#20DeepSeek VL2 Tiny
81.0%
#21Gemma 3 27B
78.0%
#22Grok-1.5V
76.1%
#23Gemma 3 12B
75.7%

OCRBench

Rank #7 of 7
#4DeepSeek VL2
81.1%
#5DeepSeek VL2 Small
83.4%
#6Phi-4-multimodal-instruct
84.4%
#7DeepSeek VL2 Tiny
80.9%

TextVQA

Rank #7 of 15
#4Nova Pro
81.5%
#5DeepSeek VL2 Small
83.4%
#6DeepSeek VL2
84.2%
#7DeepSeek VL2 Tiny
80.7%
#8Nova Lite
80.2%
#9Grok-1.5V
78.1%
#10Phi-4-multimodal-instruct
75.6%

AI2D

Rank #17 of 17
#14Gemma 3 4B
74.8%
#15Phi-3.5-vision-instruct
78.1%
#16DeepSeek VL2 Small
80.0%
#17DeepSeek VL2 Tiny
71.6%
All Benchmark Results for DeepSeek VL2 Tiny
Complete list of benchmark scores with detailed information
DocVQA
DocVQA benchmark
vision
multimodal
0.89
88.9%
Self-reported
ChartQA
ChartQA benchmark
general
multimodal
0.81
81.0%
Self-reported
OCRBench
OCRBench benchmark
general
text
0.81
80.9%
Self-reported
TextVQA
TextVQA benchmark
vision
multimodal
0.81
80.7%
Self-reported
AI2D
AI2D benchmark
general
text
0.72
71.6%
Self-reported
MMBench
MMBench benchmark
general
text
0.69
69.2%
Self-reported
MMBench-V1.1
MMBench-V1.1 benchmark
general
text
0.68
68.3%
Self-reported
InfoVQA
InfoVQA benchmark
vision
multimodal
0.66
66.1%
Self-reported
RealWorldQA
RealWorldQA benchmark
general
text
0.64
64.2%
Self-reported
MathVista
MathVista benchmark
math
text
0.54
53.6%
Self-reported
Showing 1 to 10 of 14 benchmarks